Evidence map›Paper›PMID 36995635›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Stepwise Optimization of Real-Time RT-PCR Analysis.

Nathan A Maren, James R Duduit, Debao Huang, Fanghou Zhao, Thomas G Ranney, Wusheng Liu

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
60.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 73 citations in OpenAlex.

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  10. METTL3-mediated mScientific reports · 2026
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  15. Plants (Basel, Switzerland) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 2 countries.

Nathan A MarenDepartment of Horticultural Science, North Carolina State University, Raleigh, NC, USA.
James R DuduitDepartment of Horticultural Science, North Carolina State University, Raleigh, NC, USA.
Debao HuangDepartment of Horticultural Science, North Carolina State University, Raleigh, NC, USA.
Fanghou ZhaoDepartment of Horticultural Science, North Carolina State University, Raleigh, NC, USA.
Thomas G RanneyMountain Crop Improvement Lab, Department of Horticultural Science, Mountain Horticultural Crops Research and Extension Center, North Carolina State University, Mills River, NC, USA.
Wusheng LiuDepartment of Horticultural Science, North Carolina State University, Raleigh, NC, USA. wliu25@ncsu.edu.
North Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative real-time reverse transcription PCR (qRT-PCR) analysis has been used routinely to quantify gene expression levels. Primer design and the optimization of qRT-PCR parameters are critical for the accuracy and reproducibility of qRT-PCR analysis. Computational tool-assisted primer design often overlooks the presence of homologous sequences of the gene of interest and the sequence similarities between homologous genes in a plant genome. This sometimes results in skipping the optimization of qRT-PCR parameters due to the false confidence in the quality of the designed primers. Here we present a stepwise optimization protocol for single nucleotide polymorphisms (SNPs)-based sequence-specific primer design and sequential optimization of primer sequences, annealing temperatures, primer concentrations, and cDNA concentration range for each reference and target gene. The goal of this optimization protocol is to achieve a standard cDNA concentration curve with an R

Indexed as

Reverse Transcriptase Polymerase Chain ReactionDNA, ComplementaryDNA PrimersReal-Time Polymerase Chain ReactionReproducibility of ResultsDNA, ComplementaryDNA PrimersReal-time RT-PCRReference geneSNPs-based sequence-specific primer designStepwise parameter optimization

Identifiers

PMID36995635
OpenAlexW4361303166

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.